{"id":"W4230750950","doi":"10.1787/9789264197213-3-en","title":"Understanding agri-environmental public goods through country experience","year":2013,"lang":"en","type":"book-chapter","venue":"OECD eBooks","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public good; Geography; Collective action; Economy; Political science; Kingdom; Environmental protection; Economic growth; Regional science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001898908,0.0002469968,0.0002431125,0.001930648,0.002734044,0.007246112,0.0005849874,0.001127778,0.006104311],"category_scores_gemma":[0.002807389,0.0001904091,0.0002092962,0.003542825,0.006489533,0.01129863,0.005777668,0.001405391,0.0003327727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003773385,"about_ca_system_score_gemma":0.001223678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397124,"about_ca_topic_score_gemma":0.02143116,"domain_scores_codex":[0.9982945,0.001021882,0.00002961717,0.0001144865,0.000145163,0.0003943119],"domain_scores_gemma":[0.9977664,0.00143954,0.0002918227,0.0001524883,0.0001431225,0.0002067481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008050518,0.000114979,0.03428293,0.000189325,0.00003013959,0.002836539,0.6789446,0.001732647,0.0008247246,0.238284,0.003594255,0.03908539],"study_design_scores_gemma":[0.000007409528,0.00004070576,0.01750017,0.0002407752,0.00001664243,0.000373705,0.8730639,0.0004928351,0.0002993235,0.01967241,0.08826817,0.00002392582],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7857202,0.001047143,0.001878903,0.002377897,0.00002787523,0.00001446955,0.0001189883,0.00001921861,0.2087952],"genre_scores_gemma":[0.9959953,0.000661449,0.000268556,0.00007124542,0.000003943398,0.000006276138,0.00004316537,0.00000767013,0.00294248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01397124,"threshold_uncertainty_score":0.02777982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09334620823355573,"score_gpt":0.2519532107940334,"score_spread":0.1586070025604777,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}